Energy-Optimized Supercomputer Networks Using Wind Energy

Advances in the field of computer science, such as very complex simulations, data analysis, or machine learning (ML) in data-driven applications (for example, computational fluid dynamics, large language models) are leading to an increased demand of IT performance and data storage capacity. Therefore, the electricity demands of digital infrastructures in science and industry are increasing. High-performance computing (HPC) has become an enabling technology and a vital tool to greatly reduce the processing and execution time of advanced computing- or data-intensive tasks. An obvious consequence: HPC datacenters (DCs) require an enormous amount of electricity, have volatile demands, and produce notable amounts of waste heat. If not well located, built, and operated, such infrastructures generate a significant CO2 backpack, and the applications and products that use them inherit the backpack from the computing platform.